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2020 – today
- 2024
[j22]Alaaddin Goktug Ayar
, Abdullah Sahruri, Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi, Martin Margala:
Detecting Vulnerability in Hardware Description Languages: Opcode Language Processing. IEEE Embed. Syst. Lett. 16(2): 222-226 (2024)- [c45]Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam, M. Hassan Najafi:
P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing. ASPDAC 2024: 38-45 - [c44]Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi:
Late Breaking Results: TriSC: Low-Cost Design of Trigonometric Functions with Quasi Stochastic Computing. DAC 2024: 341:1-341:2 - [c43]Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi:
uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing. DATE 2024: 1-6 - [c42]Alaaddin Goktug Ayar, Sercan Aygun, M. Hassan Najafi, Martin Margala:
Word2HyperVec: From Word Embeddings to Hypervectors for Hyperdimensional Computing. ACM Great Lakes Symposium on VLSI 2024: 355-356 - [c41]Mehran Shoushtari Moghadam, Sercan Aygun, Faeze S. Banitaba, M. Hassan Najafi:
All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional Computing. ISLPED 2024: 1-6 - [i10]Faeze S. Banitaba, Sercan Aygun, M. Hassan Najafi:
Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing. CoRR abs/2407.04861 (2024) - 2023
- [j21]Sercan Aygun, Lida Kouhalvandi, M. Hassan Najafi, Serdar Özoguz, Ece Olcay Günes:
Hardware-Software Co-Optimization of Long-Latency Stochastic Computing. IEEE Embed. Syst. Lett. 15(4): 190-193 (2023) - [j20]Mehran Shoushtari Moghadam, Sercan Aygun, M. Hassan Najafi:
No-Multiplication Deterministic Hyperdimensional Encoding for Resource-Constrained Devices. IEEE Embed. Syst. Lett. 15(4): 210-213 (2023) - [j19]Paul P. Sotiriadis, Jie Han, M. Hassan Najafi, Josep Lluís Rosselló Sanz:
Guest Editorial Unconventional Computing Techniques for Emerging Technology Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 1-6 (2023) - [j18]Peter Schober, Seyedeh Newsha Estiri, Sercan Aygun, Amir Hossein Jalilvand, M. Hassan Najafi, Nima TaheriNejad:
Stochastic Computing Design and Implementation of a Sound Source Localization System. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 295-311 (2023) - [j17]Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes:
Agile Simulation of Stochastic Computing Image Processing With Contingency Tables. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(10): 3474-3478 (2023) - [j16]Kamyar Givaki, Ahmad Khonsari, MohammadHosein Gholamrezaei, Saeid Gorgin, M. Hassan Najafi:
A Generalized Residue Number System Design Approach for Ultralow-Power Arithmetic Circuits Based on Deterministic Bit-Streams. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3787-3800 (2023) - [c40]Sercan Aygun, M. Hassan Najafi, Mohsen Imani:
A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. DATE 2023: 1-2 - [c39]Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes:
Reconvergent Path-aware Simulation of Bit-stream Processing. ACM Great Lakes Symposium on VLSI 2023: 225-226 - [c38]Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes:
Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. ACM Great Lakes Symposium on VLSI 2023: 273-279 - [c37]Mohsen Riahi Alam, M. Hassan Najafi, Nima TaheriNejad, Mohsen Imani, Lu Peng:
Stochastic Computing for Reliable Memristive In-Memory Computation. ACM Great Lakes Symposium on VLSI 2023: 397-401 - [c36]Travis LeCompte, Fang Qi, Xu Yuan, Nian-Feng Tzeng, M. Hassan Najafi, Lu Peng:
Graph Neural Network Assisted Quantum Compilation for Qubit Allocation. ACM Great Lakes Symposium on VLSI 2023: 415-419 - [c35]Brady Prince, M. Hassan Najafi, Bingzhe Li:
Scalable Low-Cost Sorting Network with Weighted Bit-Streams. ISQED 2023: 1-6 - [c34]Sercan Aygun, M. Hassan Najafi, Lida Kouhalvandi, Ece Olcay Günes:
Multiplexer Optimization for Adders in Stochastic Computing. NANOARCH 2023: 18:1-18:2 - [c33]Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam, Jonas I Schmidt, M. Hassan Najafi, Nima Taherinejad:
Accurate and Energy-Efficient Stochastic Computing with Van Der Corput Sequences. NANOARCH 2023: 27:1-27:6 - [i9]Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi, Mohsen Imani:
Learning from Hypervectors: A Survey on Hypervector Encoding. CoRR abs/2308.00685 (2023) - [i8]Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam, M. Hassan Najafi:
P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing. CoRR abs/2309.05235 (2023) - [i7]Amir Hossein Jalilvand, Faeze S. Banitaba, Seyedeh Newsha Estiri, Sercan Aygun, M. Hassan Najafi:
Sorting it out in Hardware: A State-of-the-Art Survey. CoRR abs/2310.07903 (2023) - [i6]Sercan Aygun, M. Hassan Najafi:
Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures. CoRR abs/2311.10277 (2023) - [i5]Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi:
uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing. CoRR abs/2311.10778 (2023) - 2022
- [j15]Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad:
Sorting in Memristive Memory. ACM J. Emerg. Technol. Comput. Syst. 18(4): 69:1-69:21 (2022) - [j14]Peter Schober, M. Hassan Najafi, Nima TaheriNejad:
High-Accuracy Multiply-Accumulate (MAC) Technique for Unary Stochastic Computing. IEEE Trans. Computers 71(6): 1425-1439 (2022) - [j13]Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad, Mohsen Imani, Raju Gottumukkala:
Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2423-2427 (2022) - [c32]Amir Hossein Jalilvand, Seyedeh Newsha Estiri, Samaneh Naderi, M. Hassan Najafi, Mohsen Imani:
A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. DAC 2022: 1390-1391 - [c31]Seyedeh Newsha Estiri, Amir Hossein Jalilvand, Samaneh Naderi, M. Hassan Najafi, Mahdi Fazeli:
A Low-Cost Stochastic Computing-based Fuzzy Filtering for Image Noise Reduction. IGSC 2022: 1-6 - [c30]Peter Schober, Seyedeh Newsha Estiri, Sercan Aygun, Nima TaheriNejad, M. Hassan Najafi:
Sound Source Localization Using Stochastic Computing. ICCAD 2022: 79:1-79:9 - [c29]Hanning Chen, M. Hassan Najafi, Elaheh Sadredini, Mohsen Imani:
Full Stack Parallel Online Hyperdimensional Regression on FPGA. ICCD 2022: 517-524 - 2021
- [j12]Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad:
Exact Stochastic Computing Multiplication in Memristive Memory. IEEE Des. Test 38(6): 36-43 (2021) - [j11]Kamyar Givaki, Reza Hojabr, MohammadHosein Gholamrezaei, Ahmad Khonsari, Saeid Gorgin, Dara Rahmati, M. Hassan Najafi:
High-Performance Deterministic Stochastic Computing Using Residue Number System. IEEE Des. Test 38(6): 60-68 (2021) - [j10]M. Hassan Najafi, David J. Lilja:
High Quality Down-Sampling for Deterministic Approaches to Stochastic Computing. IEEE Trans. Emerg. Top. Comput. 9(1): 7-14 (2021) - [c28]Prathyush Poduval, Zhuowen Zou, M. Hassan Najafi, Houman Homayoun, Mohsen Imani:
StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. DAC 2021: 1195-1200 - [c27]Zhuowen Zou, Yeseong Kim, M. Hassan Najafi, Mohsen Imani:
ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. DATE 2021: 850-855 - [c26]Sina Asadi, M. Hassan Najafi, Mohsen Imani:
A Low-Cost FSM-based Bit-Stream Generator for Low-Discrepancy Stochastic Computing. DATE 2021: 908-913 - [c25]Sina Asadi, M. Hassan Najafi, Mohsen Imani:
CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing. ICCAD 2021: 1-9 - [c24]Prathyush Poduval, Mariam Issa, Farhad Imani, Cheng Zhuo, Xunzhao Yin, M. Hassan Najafi, Mohsen Imani:
Robust In-Memory Computing with Hyperdimensional Stochastic Representation. NANOARCH 2021: 1-6 - 2020
- [c23]Sina Asadi, M. Hassan Najafi:
Late Breaking Results: LDFSM: A Low-Cost Bit-Stream Generator for Low-Discrepancy Stochastic Computing. DAC 2020: 1-2 - [c22]Saransh Gupta, Mohsen Imani, Joonseop Sim, Andrew Huang, Fan Wu, M. Hassan Najafi, Tajana Rosing:
SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. DATE 2020: 1598-1601 - [c21]Sina Asadi, M. Hassan Najafi:
Accelerating Deterministic Stochastic Computing with Context-Aware Bit-stream Generator. ACM Great Lakes Symposium on VLSI 2020: 157-162 - [c20]Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad:
Exact In-Memory Multiplication Based on Deterministic Stochastic Computing. ISCAS 2020: 1-5 - [c19]Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi:
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training. ISCAS 2020: 1-5 - [c18]Amir Hossein Jalilvand, M. Hassan Najafi, Mahdi Fazeli:
Fuzzy-Logic using Unary Bit-Stream Processing. ISCAS 2020: 1-5 - [c17]M. Hassan Najafi, S. Rasoul Faraji, Kia Bazargan, David J. Lilja:
Energy-Efficient Pulse-Based Convolution for Near-Sensor Processing. ISCAS 2020: 1-5 - [c16]M. Hassan Najafi, Devon Jenson, David J. Lilja, Marc D. Riedel:
Performing Stochastic Computation Deterministically. ISCAS 2020: 1 - [i4]Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi:
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training. CoRR abs/2010.05197 (2020) - [i3]Mohsen Riahi Alam, M. Hassan Najafi, Nima Taherinejad:
Sorting in Memristive Memory. CoRR abs/2012.09918 (2020)
2010 – 2019
- 2019
- [j9]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
Low-Cost Stochastic Hybrid Multiplier for Quantized Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 15(2): 18:1-18:19 (2019) - [j8]M. Hassan Najafi, Devon Jenson, David J. Lilja, Marc D. Riedel:
Performing Stochastic Computation Deterministically. IEEE Trans. Very Large Scale Integr. Syst. 27(12): 2925-2938 (2019) - [c15]M. Hassan Najafi, S. Rasoul Faraji, Kia Bazargan, David J. Lilja:
Energy-Efficient Near-Sensor Convolution using Pulsed Unary Processing. ASAP 2019: 36 - [c14]Kamyar Givaki, Reza Hojabr, M. Hassan Najafi, Ahmad Khonsari, M. Hossein Gholamrezayi, Saeid Gorgin, Dara Rahmati:
Using Residue Number Systems to Accelerate Deterministic Bit-stream Multiplication. ASAP 2019: 40 - [c13]Sina Asadi, M. Hassan Najafi:
Context-Aware Number Generator for Deterministic Bit-stream Computing. ASAP 2019: 140 - [c12]Reza Hojabr, Kamyar Givaki, S. M. Reza Tayaranian, Parsa Esfahanian, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi:
SkippyNN: An Embedded Stochastic-Computing Accelerator for Convolutional Neural Networks. DAC 2019: 132 - [c11]S. Rasoul Faraji, M. Hassan Najafi, Bingzhe Li, David J. Lilja, Kia Bazargan:
Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing. DATE 2019: 1757-1762 - [c10]Bingzhe Li, Jiaxi Hu, M. Hassan Najafi, Steven J. Koester, David J. Lilja:
Low Cost Hybrid Spin-CMOS Compressor for Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 141-146 - [c9]M. Hassan Najafi, S. Rasoul Faraji, Bingzhe Li, David J. Lilja, Kia Bazargan:
Accelerating Deterministic Bit-Stream Computing with Resolution Splitting. ISQED 2019: 157-162 - 2018
- [j7]S. Karen Khatamifard, M. Hassan Najafi, Ali Ghoreyshi, Ulya R. Karpuzcu, David J. Lilja:
On Memory System Design for Stochastic Computing. IEEE Comput. Archit. Lett. 17(2): 117-121 (2018) - [j6]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Low-Cost Sorting Network Circuits Using Unary Processing. IEEE Trans. Very Large Scale Integr. Syst. 26(8): 1471-1480 (2018) - [c8]M. Hassan Najafi, David J. Lilja, Marc D. Riedel:
Deterministic methods for stochastic computing using low-discrepancy sequences. ICCAD 2018: 51 - [c7]Bingzhe Li, M. Hassan Najafi, Bo Yuan, David J. Lilja:
Quantized neural networks with new stochastic multipliers. ISQED 2018: 376-382 - 2017
- [j5]M. Hassan Najafi, Peng Li, David J. Lilja, Weikang Qian, Kia Bazargan, Marc D. Riedel:
A Reconfigurable Architecture with Sequential Logic-Based Stochastic Computing. ACM J. Emerg. Technol. Comput. Syst. 13(4): 57:1-57:28 (2017) - [j4]M. Hassan Najafi, Shiva Jamali-Zavareh, David J. Lilja, Marc D. Riedel, Kia Bazargan, Ramesh Harjani:
An Overview of Time-Based Computing with Stochastic Constructs. IEEE Micro 37(6): 62-71 (2017) - [j3]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Polysynchronous Clocking: Exploiting the Skew Tolerance of Stochastic Circuits. IEEE Trans. Computers 66(10): 1734-1746 (2017) - [j2]M. Hassan Najafi, Shiva Jamali-Zavareh, David J. Lilja, Marc D. Riedel, Kia Bazargan, Ramesh Harjani:
Time-Encoded Values for Highly Efficient Stochastic Circuits. IEEE Trans. Very Large Scale Integr. Syst. 25(5): 1644-1657 (2017) - [c6]M. Hassan Najafi, David J. Lilja:
High-speed stochastic circuits using synchronous analog pulses. ASP-DAC 2017: 481-487 - [c5]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Power and Area Efficient Sorting Networks Using Unary Processing. ICCD 2017: 125-128 - [i2]S. Karen Khatamifard, M. Hassan Najafi, Ali Ghoreyshi, Ulya R. Karpuzcu, David J. Lilja:
On Memory System Design for Stochastic Computing. CoRR abs/1709.08748 (2017) - 2016
- [j1]M. Hassan Najafi, Mostafa E. Salehi:
A Fast Fault-Tolerant Architecture for Sauvola Local Image Thresholding Algorithm Using Stochastic Computing. IEEE Trans. Very Large Scale Integr. Syst. 24(2): 808-812 (2016) - [c4]M. Hassan Najafi, David J. Lilja, Marc D. Riedel, Kia Bazargan:
Polysynchronous stochastic circuits. ASP-DAC 2016: 492-498 - [c3]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier. FPGA 2016: 36-41 - [i1]M. Hassan Najafi, David J. Lilja:
A High-Capacity Separable Reversible Method for Hiding Multiple Messages in Encrypted Images. CoRR abs/1612.04339 (2016) - 2015
- [c2]Bingzhe Li, M. Hassan Najafi, David J. Lilja:
An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams. ASAP 2015: 68-69 - [c1]M. Hassan Najafi, Anirudh Murali, David J. Lilja, John Sartori:
GPU-Accelerated Nick Local Image Thresholding Algorithm. ICPADS 2015: 576-584
Coauthor Index
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